DeepSeek-R1-Distill-Qwen-1.5B-spider-text-2-SQL-3-train-epochs
This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4032
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
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Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7136 | 1.0 | 1750 | 0.4189 |
| 1.597 | 2.0 | 3500 | 0.4058 |
| 1.4524 | 3.0 | 5250 | 0.4032 |
Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for abdussahid26/DeepSeek-R1-Distill-Qwen-1.5B-spider-text-2-SQL-3-train-epochs
Base model
deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B